FEA Jobs in Pune

Job Title: Computer Vision Engineer Location: Pune Experience: 3+ years Job Overview We re looking for a passionate Computer Vision Engineer to join a fast-paced startup environment. In this role, you will research, develop, and maintain scalable computer vision and machine learning solutions that analyze video feeds from online sessions, detecting anomalies and enhancing user experience. Required Skills & Qualifications BS/MS in Computer Science or equivalent, with 3+ years of industry and/or research experience in AI, Computer Vision, Machine Learning, Image Processing, or Computer Graphics. Proficient in C/C++ and Python, with solid experience working in a Linux environment. Hands-on experience with libraries and frameworks such as OpenCV, NumPy, SciPy, Scikit-learn, etc. Ability to clearly communicate complex technical concepts to both technical and non-technical audiences. Familiarity with Git version control. Highly Desirable Expertise in image classification, segmentation, and autonomous feature learning. Strong foundation in linear algebra, optimization techniques, probability, and statistics. Experience in software architecture, API design, and seamless system integration. Background in parallel programming techniques. Practical experience with vision applications in real-world projects. Join us to innovate in the field of computer vision and help shape the future of intelligent video analysis. Apply today to be part of our dynamic team!

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Program Manager RFQ Location: Pune Experience: 5 7 Years Industry: Automotive / Manufacturing / Engineering Department: Program Management / Costing / Business Development Support Function: RFQ Management, Product Costing, Cross-functional Program Execution Job Summary: We are looking for an experienced Program Manager RFQ to lead and manage the end-to-end RFQ (Request for Quotation) process by closely coordinating with Business Development, R&D, Manufacturing Engineering, Supply Chain, and Costing teams. The role requires strong technical, commercial, and program management skills to support business acquisition efforts and ensure accurate and timely cost proposals to customers. Key Responsibilities: 1. RFQ Planning & Coordination: Act as the single point of contact between CFT and Business Development (BD) teams. Participate in Kick-off meetings (DR0/Phase 0) to define customer expectations, RFQ targets, and project milestones. Drive execution of RFQs through PLM tool, ensure project plan is created and updated regularly by CFT. Maintain departmental RFQ trackers and ensure timely closure of tasks. 2. Technical & Costing Feasibility: Coordinate with R&D for BOM, technical specifications, and risk identification. Facilitate engineering, manufacturing, and commercial feasibility assessments with CFT. Liaise with SCM, Tooling, and ME teams to gather inputs on tooling cost, BOP quotes, and capital investments. Review and validate tooling cost breakdown and share it with BD in customer-specific formats. 3. Cost Sheet Preparation & Analysis: Prepare detailed cost sheets aligned with benchmarks and internal targets. Conduct investment analysis using IRR, NPV, and RMC calculations. Support BD in customer negotiations with cost justifications, break-ups, and scenario planning. Maintain centralized cost database for reference and person-independent execution. 4. Gate Review & Program Handover: Track cost evolution across Gate exits, monitor deviations vs. Phase 0 plan. Lead Gate 0 closure and officially handover the project to Program Manager for development phase. Plan phase-wise execution with alignment from SCM and CFT. 5. Win-Loss Analysis & Continuous Improvement: Conduct Win-Loss analysis of RFQs handled, capture learnings, and drive continuous improvement. Optimize BOM costs and capital investments during execution versus Gate plans. Special Focus Areas: Polymer / Metallic Product RFQs Evaluate SOR, CSR, tooling, FTG requirements. Participate in supplier visits for evaluation and negotiation support. Support technical feasibility studies, DVP cost reviews, and risk assessments with internal teams. Required Skills & Qualifications: Bachelor s degree in Engineering (Mechanical / Production preferred). 5 7 years of experience in RFQ management, product costing, and automotive program management. Strong understanding of BOM structures, investment planning, tooling strategy, and costing principles. Hands-on experience with PLM tools, costing software, and Excel-based costing models. Exposure to IRR, NPV, benchmarking, and cost optimization frameworks. Excellent techno-commercial acumen, negotiation skills, and cross-functional leadership. Preferred Experience: Prior experience in automotive product development or costing departments. Familiarity with metallic product costing, supplier tool audits, and customer negotiation support. Knowledge of Gate-based product development processes. Lead strategic RFQ initiatives that directly impact business wins. Work with cross-functional teams on technically complex and commercially significant projects. Be part of a growth-driven, innovation-focused automotive engineering company. Qualification : Bachelors degree in Engineering (Mechanical / Production preferred)

Position: Manager / Senior Manager Engineering Design Location: Pune Reports To: Engineering Project Lead Educational Qualification: B.E. / B.Tech or higher in Mechanical / Automotive / Design Engineering Experience: 12 16 years Industry: Construction Equipment / Automotive / Heavy Engineering Purpose of the Role To lead the end-to-end design and development of construction and earthmoving vehicles (CEV), ensuring innovation, functionality, manufacturability, and cost-effectiveness. This role is responsible for full product lifecycle management, from concept development and prototyping to validation, production readiness, and continuous improvement. Key Responsibilities Full Lifecycle Product Development Drive product development from concept through design, prototyping, testing, manufacturing, and implementation for CEVs. Develop system and component-level solutions aligned with functional, cost, material, and manufacturing requirements. Design Execution & Evaluation Create and review system concepts to ensure innovative and competitive design. Perform 3D modeling, 2D detailing, tolerance stack-ups, and geometric dimensioning (GD&T) using industry-standard CAD tools. Ensure designs are production-ready, meeting engineering, safety, and quality standards. Testing, Validation & Analysis Coordinate testing activities, including trial setups, instrumentation, and performance evaluations. Analyze test data, validate design intent, and implement necessary modifications. Conduct complex engineering calculations for strength, stiffness, service life, and material performance. Collaboration & Coordination Coordinate with internal cross-functional teams and external partners (vendors, design houses) for development and validation activities. Provide specifications, supervise and validate output from external design service providers. Resolve engineering issues and support production and service teams with design inputs. Design Documentation & Control Create and maintain technical documentation: engineering drawings, BOMs, cost comparison sheets, and design change notes. Ensure timely execution of engineering change requests (ECRs) and track their implementation. Use PLM and ERP systems for revision control and release management. Innovation & Standardization Drive the creation of new concepts for components, systems, and subsystems. Standardize parts and subassemblies to improve design efficiency and reduce cost. Identify opportunities for process improvement and design optimization. Key Competencies & Skills Deep technical knowledge in structural systems, fabrication, and vehicle integration. Proficiency in CAD tools (e.g., Creo, CATIA, SolidWorks) and PLM systems. Strong analytical skills in engineering calculations (load path, stiffness, stress, fatigue). Expertise in GD&T, tolerance analysis, and manufacturing drawing preparation. Hands-on experience with design problem-solving and root cause analysis. Effective communication and stakeholder management skills. Ability to lead cross-functional design reviews and mentor junior engineers. Role Authorities Accountable for design ownership and lifecycle maintenance of assigned systems/products. Responsible for execution and approval of engineering changes related to design. Qualification : B.E. / B.Tech or higher in Mechanical / Automotive / Design Engineering

Position: Junior Engineer Tool Design (Progressive Stamping / Press Tool) Location: Pune, Maharashtra, India Employment Type: Full-Time Company: RENATA Precision Components Pvt. Ltd. Experience Required: 2 4 years Industry: Plastic Injection Moulding & Automotive Components Company Overview RENATA Precision Components Pvt. Ltd. is a trusted manufacturer of high-precision plastic injection moulded components serving the automotive and other engineering industries. We are committed to delivering quality and innovation through continuous improvement and advanced engineering practices. Position Overview We are looking for a Junior Engineer Tool Design (Progressive Stamping) with hands-on experience in designing press tools. The ideal candidate will assist in 3D and 2D tool design, collaborate with senior designers and tool room teams, and contribute to the successful execution of tooling projects. Key Responsibilities Prepare 3D and 2D designs for press tools and progressive stamping dies. Collaborate with senior designers and the tool room team to document lessons learned from previous projects. Create detailed 2D drawings and perform cross-checks to ensure accuracy. Support root cause analysis for design-related issues and assist in implementing corrective actions. Adhere to project time plans and maintain timely documentation throughout the design phase. Follow and maintain 5S standards in the workplace. Ensure compliance with design and quality standards throughout the project lifecycle. Qualifications & Experience Diploma or BE in Mechanical Engineering. 2 4 years of experience in press tool / progressive stamping tool design. Required Skills Solid understanding of tool design principles and manufacturing processes. Proficiency in 3D and 2D CAD software (e.g., AutoCAD, SolidWorks, UG NX, or similar). Basic knowledge of design documentation and GD&T. Strong attention to detail, ability to multi-task, and meet project deadlines. Good knowledge of MS Office (Word, Excel, PowerPoint, Email, Internet). Effective communication and collaboration skills. Join RENATA to work alongside talented engineers in a fast-paced and innovation-driven environment. We support career development, offer hands-on project exposure, and foster a culture of teamwork and continuous improvement.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Description: Should have a good knowledge of DFMEA preparations for Axle, Suspension domain. To lead the DFMEA team for axles and suspensions. Should be able to work extensively on relating DVPs to DFMEA Good know how of Boundary diagrams, P-diagrams, functional schematics etc. Good skills in MS Excel and Word. Educational Qualification: BE / ME Number of Positions: 2 Skills: DFMEA

Job Description: Key Responsibilities: Working knowledge of Durability domain (theory & principles of Linear, Non-Linear, Fatigue and Vibrations) Working knowledge of vehicle durability assessment and testing Analysis model building for vehicle aggregates, BIW, suspension, trims, full Vehicle durability simulation etc. Sound knowledge mechanical engineering and automotive engineering. In-depth knowledge of vehicle Durability domain for theory, objective & subjective assessment, experimental data analysis, durability target setting, root cause analysis. In depth knowledge of vehicle subsystem / systems (e.g., Body, trims, Powertrain, Suspension, Chassis etc) for construction, operation & its dynamics. Expert in meshing and modelling software in Automotive companies or Engineering services company with hands on Durability-CAE tools. Educational Qualification: BE / B.Tech / ME / M.Tech Number of Positions: 3 Skills: ANSA & Abaqus

Designation: Design Engineer Education: Diploma in Plastic Mould Technology / Tool & Die Making from CIPET, IGTR, GTTC, NTTF, or CITD. Experience: 1-2 years of experience in Mould Design or Tool Room. Job Location: Viman Nagar, Pune Preferred Joining: December 2024 Job Responsibilities: Understand mould design concepts and processes. Design hot runner accessories and systems. Review and interpret customer mould data. Interact with customers to finalize system designs. Create 3D and 2D system designs. Deliver project files within customer timelines. Manage design revisions based on customer feedback. Schedule systems for production. Collaborate with the production team during system manufacturing. Key Requirements: Basic understanding of injection moulding machines and processes. Knowledge of mould construction and basic mould design. Understanding of plastic engineering and manufacturing processes. Familiarity with geometrical dimensions, tolerances, steel materials, and heat treatment processes. Software Skills: Proficiency in SolidWorks (or similar CAD software). Experience in 3D modelling and 2D drafting. Technical Knowledge: Mould design and tooling expertise. Working knowledge of SolidWorks. Proficiency in English (reading, writing, and communication). General computer skills. Personal Attributes: Precision, flexibility, and a problem-solving mindset. Strong communication skills, with clear and professional written and verbal English. About Oerlikon Oerlikon is a global innovation leader in surface engineering, polymer processing, and additive manufacturing. We serve key industries such as aerospace, automotive, energy, tooling, and textiles, helping our customers enhance performance, functionality, and sustainability in their products and processes. With over 11,800 employees representing 93 nationalities, Oerlikon operates in more than 38 countries and across 207 locations worldwide. We value diversity, innovation, and excellence, making us a trusted partner globally.

R&D Verification Engineer Summary / Role Purpose The R&D Verification Engineer joins the Fluids Business Unit to conduct software testing of ANSYS Computational Fluid Dynamics (CFD) applications. This role helps assess how well the product meets customer needs in terms of functionality and usability while ensuring compliance with product requirements and quality standards. The engineer will collaborate closely with the product creation team and communicate with technical specialists on product issues. Key Duties and Responsibilities Perform functional and regression testing in manual and/or automated test environments. Verify defect fixes and write detailed software defect reports and enhancement requests. Apply standard techniques and procedures while complying with the company's overall development and testing processes. Work in various computing environments, including both Windows and Linux operating systems and high-performance computing. Minimum Education / Certification Requirements and Experience BS in Mechanical, Aerospace, or Chemical Engineering or a related engineering field. Preferred Qualifications and Skills MS in Mechanical, Aerospace, or Chemical Engineering or a related engineering field. Working knowledge of the numerical methods and algorithms typically used for CFD. Experience using Fluent CFD software to solve engineering problems. Strong computing skills, including experience with scripting languages (e.g., Python) and both Linux and Windows platforms. Basic understanding of software testing and verification processes. Good communication and interpersonal skills. Ability to learn quickly and collaborate with a geographically distributed team. Qualification : BS in Mechanical, Aerospace or Chemical Engineering or related engineering field

AI/ML Engineer Experience: 2 3 Years Education: BBA, BSc, BTech/BE, MSc, MTech, MCA Location: Pune About the Role We are seeking a passionate AI/ML Engineer to design, build, and scale production-grade AI systems that power our platform. You will work on real-world AI problems such as document intelligence, real-time voice AI, and intelligent job-to-candidate matching systems. This role requires strong hands-on experience in LLM engineering, backend development, and AI system productionization. Required Skills Python (FastAPI) LangChain, LlamaIndex OpenAI API, Anthropic Good to Have Postgres (Pgvector), Supabase Redis Docker LangSmith GitHub Actions Roles & Responsibilities Build Agentic Workflows: Design and deploy AI agents capable of reasoning and decision-making using LangChain or LlamaIndex. Develop Voice AI Systems: Build low-latency, real-time conversational voice bots for candidate outreach using WebSockets, STT, and TTS, ensuring effective context retention and state management. Engineer Data Pipelines: Create robust parsing systems that enforce strict JSON outputs from LLMs for resume data extraction, along with data cleaning pipelines for unstructured formats (PDF/DOCX). Implement Advanced RAG Systems: Develop retrieval pipelines using Pgvector or Pinecone with hybrid search (semantic + keyword) for accurate job-to-candidate matching. Productionize & Monitor AI Systems: Set up tracing and observability using LangSmith to debug chains, monitor token usage, and optimize performance and cost. Backend Integration: Package AI logic into scalable, asynchronous microservices using FastAPI and Docker. Technical Requirements 1. Generative AI & LLM Engineering Experience enforcing structured JSON outputs using function calling. Strong prompt engineering skills (Chain-of-Thought, Few-Shot). Hands-on experience orchestrating complex AI pipelines using LangChain or LlamaIndex. 2. Voice AI & Real-Time Processing Experience with STT/TTS APIs (e.g., Whisper, Deepgram). Strong understanding of WebSockets and async programming for real-time audio streaming. Ability to design conversation managers with memory and context handling. 3. Search & Data (RAG) Experience with vector databases such as Pgvector, Pinecone, or Qdrant. Expertise in chunking, cleaning, and ingesting unstructured data. 4. MLOps & Production Engineering Observability and tracing using LangSmith. Writing automated AI evaluation scripts to test prompts before deployment. Experience optimizing cost by balancing model performance and token usage. 5. Core Backend Engineering Strong Python skills with FastAPI. Proficiency in async/await patterns for concurrent processing. Experience with Docker and relational databases (SQL). 6. Machine Learning & Algorithms Understanding of recommendation systems (Collaborative Filtering, Two-Tower models). Experience with ranking and re-ranking techniques (LTR, Cross-Encoders). Familiarity with traditional ML models using Scikit-learn or XGBoost. The Applied Mindset We Value Model Strategy: Ability to choose the right model based on cost, latency, and intelligence requirements. Security First: Awareness of prompt injection and jailbreaking risks and strategies to mitigate them. Hallucination Control: Strong grounding techniques to ensure factual and reliable AI outputs. Tech Stack Overview Languages: Python (FastAPI) AI & Orchestration: LangChain, LlamaIndex, OpenAI API, Anthropic Voice AI: Deepgram, Twilio Databases: Postgres (Pgvector), Supabase, Redis DevOps & MLOps: Docker, LangSmith, GitHub Actions Qualification : BBA, BSc, BTech/BE, MSc, MTech, MCA

Product Manager L-1 Location: Pune | Job Type: Full-Time | Department: Product Development Eshopbox is looking for a passionate and dedicated Product Manager L-1 to help drive the development and success of our products. In this role, you'll be responsible for the entire product lifecycle, from concept through execution. You ll collaborate closely with engineering, design, sales, and marketing teams to deliver solutions that meet customer needs and drive business outcomes. Key Responsibilities Product Lifecycle Management: Oversee the entire product lifecycle, from writing specifications to collaborating with cross-functional teams (design, engineering, marketing) to launch key product features. Planning & Execution: Manage the planning, scoping, execution, and delivery of multiple product development projects. Technical Oversight: Ensure technical implementation aligns with the product requirements and overall vision. Defining Product Architecture: Define the architecture, modules, interfaces, and data systems needed to meet product requirements. Product Strategy & Metrics: Develop and execute a product strategy that aligns with business goals, using data analysis to inform product decisions. Prioritization & Decision Making: Balance customer experience, technical constraints, and business drivers to make informed trade-offs. User-Centric Design: Gain a deep understanding of user needs, problems, and desires to shape product development. Prototyping & Documentation: Create product design prototypes and develop user manuals, help guides, and other support content. Cross-functional Leadership: Lead and interact with cross-functional teams to ensure smooth product development and delivery. What You ll Need Organizational & People Skills: Strong project management capabilities and the ability to work effectively with diverse teams. Technical Background: 1+ years of experience in software or product management roles, with a focus on project/program management. Agile & Scrum: Experience working in Agile environments, particularly with scrum methodology. Industry Knowledge: Previous experience in the internet or e-commerce industry is a plus, with exposure to SaaS-based tools. Learning & Adaptability: Quick to learn new concepts and tools with a strong desire for continuous self-improvement. Communication & Teamwork: Excellent communication and collaboration skills to work across multiple teams and stakeholders.

Position Title: Presales Engineer Location: Pune Experience: 5+ years Education: BCA / MCA / BE / B.Tech (Preferably in Computer Science or Information Technology) Company: Accops Systems Pvt. Ltd. Accops provides secure workspace access, virtualization, and Zero Trust-based solutions for modern digital workforces. Role Overview: We are seeking an experienced Presales Engineer to support solution consulting, technical sales engagements, and partner enablement. The ideal candidate should bring strong technical expertise, excellent communication skills, and leadership capabilities to guide customers and partners through the technical evaluation and solution design process. Key Responsibilities: Gain certification in Accops products and maintain up-to-date product knowledge Deliver compelling technical presentations and conduct interactive demos (on-site and remote) Lead and manage pre-sales account teams, ensuring project alignment and timely delivery Engage in solution design, sizing, and deployment planning for Accops and third-party products Prepare comprehensive competitive analysis and technical architecture documents Build and maintain a high standard of pre-sales and post-sales support Contribute to the knowledge base, including articles, tutorials, FAQs, and best practices Manage and respond to customer queries promptly, ensuring high satisfaction Provide technical training to partner sales and presales teams Draft and define the Statement of Work (SoW) for implementation teams Stay updated with market trends, product developments, and competitive offerings Collaborate closely with the Sales Account Manager to map customer needs to the best-fit solution Communicate both technical and business benefits of solutions to varied stakeholders Mandatory Technical Skills: Proven team management experience: mentoring, motivating, and aligning with business goals In-depth technical understanding of: Operating systems: Windows, Linux (Ubuntu, Red Hat, Debian) Networking: DNS, DHCP, routing, VPNs, Active Directory, directory services, SAML, SSL, HTTPS Security technologies: Firewalls, VPN, ZTNA, CASB, SASE, Identity Federation Hands-on knowledge of at least one desktop virtualization platform: Citrix Apps & Desktop, VMware Horizon, Windows Virtual Desktop (WVD), MS RDP Experience in solution architecting and capacity planning Ability to translate customer requirements into solution architectures Strong grasp of real-world product benefits and limitations Good to Have: Presales experience in a startup environment (VDI, VPN, MFA, MDM, Azure, AWS) Prior experience with Accops products Experience in executive-level customer interactions Working knowledge of Windows Server, Windows 10, and RDS licensing Behavioral Competencies: Strong verbal and written communication skills Demonstrated leadership and initiative Clear and structured thinking and problem-solving approach High level of accountability and ownership Proactive and self-motivated with a logical bent of mind Adaptable and able to thrive in dynamic environments Qualification : BCA / MCA / BE / B.Tech (Preferably in Computer Science or Information Technology)

Position: Associate Data Science Engineer Location: Pune, Maharashtra Work Type: Full Time Minimum Experience: 1 2 Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Image Processing About the Role We are looking for a self-driven Associate Data Science Engineer to join our fast-growing Data & AI Practice. You will work on cutting-edge AI technologies and cloud-native solutions, helping build intelligent, high-impact products for our global clients. If you're passionate about AI/ML, Computer Vision, NLP, Generative AI, and developing scalable AI applications, this role is for you. What You Will Work On Contribute to the design, development, and deployment of AI-powered features and solutions. Collaborate with Product Management to translate business problems into AI/ML use cases. Build applications leveraging Computer Vision, NLP, Deep Learning, and Gen AI technologies. Develop and present functional prototypes, demos, and POCs. Stay current with the latest tools, frameworks, and research in ML, DL, and Gen AI. Participate in end-to-end project lifecycles from analysis to monitoring. What You Bring (Must-Have Skills) 1+ years of experience delivering AI/ML solutions through complete project lifecycle. Strong grasp of Linear Algebra, Statistics, and Probability. Proficiency in Python and data science libraries such as Pandas, NumPy, SciPy, scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace, spaCy, CoreNLP. Experience with Deep Learning models for Computer Vision and Object Detection. Solid knowledge of Generative AI, LLMs, and tools such as LangChain, LlamaIndex, Prompt Engineering. Strong analytical thinking, problem-solving ability, and effective communication. Great If You Also Know Experience with RAG frameworks, Function Calling, Agentic Frameworks, or Vector Search. Familiarity with cloud services: AWS (preferred), Azure, or Google Cloud Platform. Building APIs using FastAPI, async programming, and REST principles. Understanding of CI/CD, Docker/Kubernetes, and cloud-native deployment pipelines. Exposure to MLOps / LLMOps: versioning, tuning, deployment, and monitoring of models. Comfort with data visualization tools and practices. Agile development experience (Scrum, Kanban, etc.). Startup culture, small teams, and a high degree of autonomy. Work on next-gen technologies in AI, ML, GenAI, and cloud computing. Remote working options based on experience and maturity. Competitive salary and family-friendly benefits. Clear, performance-based career growth path. About Cognologix Cognologix helps businesses reimagine and innovate through modern data and cloud-native solutions. With a strong focus on data science, automation, and intelligent applications, we partner with organizations to deliver cutting-edge products in the most efficient and scalable ways. We thrive in a fast-paced, tech-first environment where innovation meets execution.

Senior Engineer Projects Location: Pune Role Overview As a Senior Engineer Projects, you will lead the mechanical engineering design and documentation efforts for projects from start to finish. Your responsibilities include reviewing customer specifications, finalizing basic designs (P&IDs, GA drawings, BOM), performing piping and structural analyses, and coordinating with vendors and internal teams. You will ensure quality compliance, support procurement through technical evaluations, engage with customers for clarifications and deviations, and oversee project progress through to successful handover. Purpose of the Role Deliver high-quality mechanical engineering design and project execution aligned with customer requirements and industry standards. Key Responsibilities Review customer specifications and inputs to define project scope Generate and manage project documentation and drawings Lead engineering design activities and finalize project basic designs including P&IDs, mechanical equipment layouts, GA drawings, and bills of materials Perform piping and structural analysis; coordinate with designers and engineers to implement design changes Engage with customers through kickoff meetings, query resolution, and deviation management Ensure quality compliance of project documentation and maintain quality records Prepare enquiry datasheets and material requisitions for long lead mechanical items Evaluate vendor technical bids and review vendor drawings and documents Manage sub-vendors through follow-ups, design reviews, and escalation handling Monitor mechanical work progress and report project status and scope variations to project managers Prepare as-built documentation and coordinate project handover to services Perform engineering calculations including pressure drop, head loss, pipe wall thickness, and lifting lug design Provide technical engineering support to E&I, Quality, Purchasing, and Project Management teams Participate in internal and external audits and project kickoff meetings as needed Eligibility & Qualifications Bachelor s degree in Mechanical Engineering Minimum 4 years of experience in piping, oil & gas, or process industry projects Strong knowledge of oil & gas equipment, instruments, piping, and structural systems Familiarity with industry standards such as ASME, ANSI, API, API MPMS, ISO related to oil & gas measurement services Experience with piping and structural welding and non-destructive testing methods Good experience in meter and prover sizing Proficiency in stress analysis using CAESAR-II, STAAD, or equivalent tools Excellent analytical, communication (verbal & written), and drawing skills (AutoCAD/MicroStation) Proficient in Microsoft Office Suite Results-driven, decisive, and capable of delivering innovative solutions Qualification : Bachelors degree in Mechanical Engineering

Job Title: Software Engineer AI/ML Location: Pune Qualification: B.E./B.Tech/M.E./M.Tech Experience: 2 4 Years Reporting To: Lead Software Engineer / Project Manager Role Overview: We are seeking a passionate and skilled AI/ML Software Engineer to join our growing team. The ideal candidate will be responsible for designing and developing intelligent systems using cutting-edge Machine Learning and Artificial Intelligence techniques. You will play a key role in building data-driven solutions that automate decision-making and improve business outcomes. Key Responsibilities: Study, analyze, and transform data science prototypes into functional ML solutions. Design and build AI and Machine Learning systems to automate predictive models. Research, implement, and optimize ML algorithms and tools based on project needs. Select appropriate datasets and design suitable data representation techniques. Develop, test, and fine-tune ML models through rigorous experimentation and statistical analysis. Train, retrain, and update ML systems as required. Extend or customize existing ML libraries and frameworks. Stay updated with the latest trends and advancements in AI/ML technologies. Required Skills & Abilities: 2 4 years of hands-on experience in AI/ML development. Solid understanding of Data Structures, Algorithms, and strong mathematical aptitude. Strong programming skills in Python, with working knowledge of scikit-learn, pandas, and other core ML libraries. In-depth knowledge of AI/ML algorithms, model evaluation techniques, and performance metrics. Experience with Deep Learning frameworks like TensorFlow, Keras, or PyTorch is a plus. Exposure to MLOps tools for model deployment and monitoring is preferable. Good communication skills and ability to manage interactions with clients and cross-functional teams. Strong problem-solving attitude and a willingness to learn continuously. Qualification : B.E./B.Tech/M.E./M.Tech/MCA

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field

Job Title: Machine Learning Engineer Location: Pune Employment Type: Full-Time About the Role: We are seeking a Machine Learning Engineer with 1-3 years of hands-on experience to join our team. The ideal candidate will have proficiency in Python programming and a solid understanding of machine learning frameworks. You will work on building and deploying cutting-edge machine learning models and solutions, with a particular focus on computer vision and ML-Ops. Key Responsibilities: Develop Machine Learning Models: Build, train, and deploy machine learning models for various business applications. Computer Vision Solutions: Focus on building and deploying computer vision solutions at scale, leveraging frameworks like TensorFlow and OpenCV. Collaborate with Teams: Work with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products. Code Quality & Documentation: Write clean, maintainable, and readable code. Document your code and solutions for ease of understanding and future reference. Work with Data Pipelines: Understand and implement data pipelines for training machine learning models, ensuring data is pre-processed and transformed correctly. Version Control & Best Practices: Use Git and follow version control best practices to ensure collaboration and code integrity across the team. Machine Learning Frameworks: Implement machine learning algorithms using frameworks like TensorFlow, Keras, OpenCV, and other relevant libraries. ML-Ops: Familiarity with deploying machine learning models into production environments and managing their lifecycle. Minimum Qualifications: Experience: 1-3 years of experience as a Machine Learning Engineer or Data Scientist. Agile Development: Familiarity with the Agile development lifecycle and collaborative software development practices. Code Readability & Documentation: Ability to write clean, readable code and document your work thoroughly for future use and team collaboration. Third-Party Libraries & APIs: Experience in consuming third-party libraries and APIs to extend the functionality of your machine learning solutions. Version Control: Experience with Git and version control best practices. Data Pipelines: Understanding of data pipelines and how to handle data preprocessing, cleaning, and transformation for machine learning purposes. Core Python: Proficiency in Python programming and popular data science libraries (e.g., NumPy, Pandas, etc.). Machine Learning Frameworks: Knowledge of machine learning frameworks like TensorFlow and OpenCV. Preferred Qualifications: ETL Tools: Experience working with ETL (Extract, Transform, Load) tools and libraries to manage and preprocess data for machine learning. Computer Vision: Hands-on experience with computer vision tasks, especially with MaskRCNN for object detection and segmentation. ML-Ops: Knowledge of ML-Ops practices for deploying, monitoring, and maintaining machine learning models in production environments. Work on cutting-edge machine learning and computer vision projects. Collaborate with a talented, cross-functional team to solve real-world problems. Opportunity to grow your career in a dynamic and innovation-driven environment. Competitive compensation and benefits package. If you're passionate about machine learning, computer vision, and deploying scalable solutions, we'd love to have you on our team!

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and IITB alumni. At Talentica, we help startups build products by utilizing the latest tools and technologies to solve real-world challenges. For over 21 years, we ve worked with over 180 startups, mainly in the US, ensuring many successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India's Great Mid-Size Workplaces. What We re Looking For: We are seeking a Python + AI Developer passionate about building innovative AI solutions. If you have strong hands-on Python skills, experience developing cross-platform software, and an interest in AI, cloud platforms, and security, you could be the perfect fit for our team! What You ll Be Doing: AI Platform Development: Develop and maintain the cutting-edge platform that powers the next-generation AI Agent stack. Innovation: Contribute to the AI Agent stack by utilizing open-source technologies like LangChain. Customer Focus: Drive outcomes from customer needs to production, ensuring that the value is delivered efficiently. Security: Keep the platform secure by addressing vulnerabilities through tools such as GitHub security scanner, Black Duck, and virus scanners. Code Quality: Participate in code reviews, testing, and debugging to ensure reliable and efficient products. To Be Successful in This Role, You Should Have: Qualification: BE/BTech in any branch from top institutes like IIT, NIT, BITS, VJTI, COEP, or similar. Experience: 5-7 years of relevant experience in Python development with AI exposure. Technical Skills: Proven experience in cross-platform software development. Hands-on expertise in Python. Understanding of software deployment and distribution systems (e.g., npm, Homebrew, Chocolatey, CI/CD systems, PyPI, Conda). Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Strong knowledge of software security practices and tools. Good-to-Have Skills: Experience building AI agents. Familiarity with React and TypeScript. Knowledge of security, governance, and enterprise compliance. Familiarity with developing for Windows platforms. Passion for creating a great developer experience and thorough documentation. Soft Skills: Strong problem-solving skills in fast-paced, results-oriented environments. Effective communication and the ability to work well in a distributed team. Passion for continuous learning and staying up-to-date with industry trends. What You ll Find Here: Culture of Innovation: We focus on creating groundbreaking solutions for our customers. At Talentica, innovation is at the core of everything we do. Endless Learning Opportunities: Grow your skillset by applying the latest advancements in your field to build better, faster, and simpler products. Talented Peers: Work alongside some of the best engineers from India s top institutes, including IITs, NITs, and select other prestigious colleges. Flexibility: We offer flexible work schedules and remote work options to support a healthy work-life balance. Great Culture: 82% of our employees recommend us to their friends, according to Glassdoor. At Talentica, you re not just following trends; you re helping shape them. If you're looking for a dynamic environment where you can innovate, grow, and make a tangible impact, Talentica is the place for you. Join us in building the future of technology! Qualification : BE/BTech in any branch from top institutes like IIT, NIT, BITS, VJTI, COEP, or similar.

Job Overview: We are seeking a Computer Vision Engineer with 3+ years of experience to join our driven startup team. The ideal candidate will be responsible for researching, developing, and maintaining scalable computer vision (CV) and machine learning (ML) technologies that analyze video feeds from users participating in online sessions and detect related anomalies. If you're passionate about CV and ML technologies, and thrive in an innovative and fast-paced environment, we'd love to have you on our team. Required Skills: Education & Experience: BS/MS in Computer Science, or 3+ years of industry and/or research experience in a relevant field. Specializations: Expertise in Artificial Intelligence, Computer Vision, Machine Learning, Image Processing, and/or Computer Graphics. Programming Skills: Proficiency in developing in C/C++ and Python, with significant experience working in a Linux environment. Libraries & Tools: Hands-on experience with OpenCV, Numpy, SciPy, Sklearn, and similar libraries. Communication: Ability to clearly and concisely communicate complex technical information to both technical and non-technical teams. Version Control: Familiarity with GIT for version control. Highly Desirable: Expertise: Specialized knowledge in image classification, segmentation, and autonomous feature learning. Mathematical Foundation: Strong understanding of linear algebra, optimization, probability, and statistics. Software Architecture: Experience with software architecture and/or API design, with strong integration skills. Parallel Programming: Background in parallel programming to optimize computational processes. Vision Applications: Experience with vision applications and technologies used in the computer vision field. Position Details: This is a full-time, paid position, with a competitive salary and benefits package, commensurate with experience. If you're eager to contribute to innovative CV/ML solutions in a collaborative and fast-growing startup environment, we encourage you to apply. Qualification : BS/MS in Computer Science, or 3+ years of industry and/or research experience in a relevant field.