{"id":2570725,"url":"https://alion.io/job/eclerx-associate-process-manager-25","title":"Associate Process Manager","company":{"id":7203,"name":"eClerx","domain":"eclerx.com","url":"https://alion.io/company/eclerx","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"C","score":59,"open_postings":164,"ghost_share":0.677,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":22,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":7000,"max_usd":14000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":10},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chroma","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"FAISS","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"JAX","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Mistral","optional":false},{"name":"OpenAI","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"TensorFlow","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2025-11-17T07:46:12Z","employer_posted_date":"2025-11-17","last_verified_at":"2026-10-15T11:03:47Z","board_verified":true,"closed_at":null,"days_open":332,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":331},"description":"Job Description- Deep Learning Engineer Department:\nArtificial Intelligence / Machine Learning\nLocation: Mumbai/Pune/Chandigarh/Remote\nEmployment Type: Full-time\nPOSITION OVERVIEW\nWe are seeking a highly skilled and experienced Deep Learning Engineer to join our AI-CoE team. The successful candidate will be responsible for developing, integrating, and optimiz ing advanced AI solutions leveraging deep learning architectures and large language models (LLMs). This role requires a strong foundation in machine learning algorithms, modern AI frameworks and experience working in enterprise-scale environments.\nKEY RESPONSIBILITIES\nDesign, implement, and deploy Deep Learning models for enterprise AI initiatives.\nDevelop and optimize LLM-based systems including Retrieval-Augmented Generation (RAG), Agent Orchestration, and context Memory Management.\nIntegrate and fine-tune LLM APIs (OpenAI, Anthropic, Google Gemini, Mistral etc.) with vector databases such as Pinecone, Chroma, FAISS etc.\nBuild scalable and modular AI pipelines using frameworks such as LangChain, LlamaIn dex, AutoGen, or CrewAI.\nConduct experimentation, evaluation, and performance tuning of AI models using Py Torch/TensorFlow/JAX.\nCollaborate with data engineering and infrastructure teams to ensure seamless deploy ment in cloud environments (AWS/GCP/Azure).\nUtilize Docker and Kubernetes for model containerization, deployment, and life-cycle management\nQUALIFICATIONS AND EXPERIENCE\nEducation: MS/M.Tech/Ph.D. in ComputerScience, Artificial Intelligence, Data Science or a related discipline\nTechnical Expertise:-\nStrong proficiency in Python and AI development libraries.\n- Solid understanding of Deep learning and Machine Learning algorithms and their practical implementations.\n- Hands-on experience with AI frameworks\n- Proficiency with AI orchestration\n- Working knowledge of vector databases\n- Familiarity with cloud computing platforms and containerization technologies\nPREFERRED SKILLS AND ATTRIBUTES\nExperience in prompt engineering, LLM fine-tuning, and context optimization.\nStrong analytical and problem-solving skills with attention to detail.\nProven ability to work collaboratively within multidisciplinary teams.\nExcellent communication and documentation abilities\nAbout eClerx\neClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience.\nAbout eClerx Digital\neClerx Digital is the trusted partner of choice to many of the world’s largest global brands for creative production, e-commerce/web operations, and analytics and insights services. We help clients maximize the results of their digital activities across the customer journey. Global industry leaders partner with us to cost-effectively scale their digital activities by leveraging our highly skilled blended resource model.\nTo know more about us, visit https://eclerx.com\neClerx is an Equal Opportunity Employer. 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