{"id":3237119,"url":"https://alion.io/job/sun-mobility-sr-python-developer","title":"Sr. Python Developer","company":{"id":4471601,"name":"SUN Mobility","domain":"sunmobility.co.in","url":"https://alion.io/company/sun-mobility-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":17500,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Django","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"GraphQL","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MySQL","optional":false},{"name":"NLP","optional":false},{"name":"NLTK","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"FAISS","optional":true},{"name":"Hadoop","optional":true},{"name":"Kubeflow","optional":true},{"name":"MLFlow","optional":true},{"name":"Pinecone","optional":true},{"name":"Recommender Systems","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-25T12:35:00Z","employer_posted_date":null,"last_verified_at":"2026-10-25T12:35:00Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for a highly skilled Senior Python Developer with strong experience in Data Science, Machine Learning, and AI to design, develop, and deploy scalable data-driven applications. The ideal candidate will have deep expertise in Python programming, data pipelines, model development, and production-grade AI systems.\n\nThe core responsibilities for the job include the following:\nPython Development: \nDesign, develop, and maintain robust, scalable Python applications.\nWrite clean, efficient, reusable, and testable code.\nOptimize applications for maximum performance and scalability.\n\nData Engineering and Processing: \nBuild and manage ETL pipelines for large-scale data processing.\nWork with structured and unstructured data.\nIntegrate data from multiple sources (APIs, databases, cloud platforms).\n\nMachine Learning and AI: \nDevelop, train, and deploy machine learning models.\nImplement algorithms for predictive analytics, NLP, computer vision, etc.\nPerform model evaluation, tuning, and optimization.\nDeploy models into production using APIs or microservices.\n\nData Science and Analytics: \nPerform exploratory data analysis (EDA) and statistical modeling.\nExtract insights from large datasets to support business decisions.\nCreate dashboards, reports, and visualizations.\n\nSystem Design and Architecture: \nArchitect end-to-end AI/ML solutions.\nDesign scalable microservices and RESTful APIs.\nCollaborate with DevOps for CI/CD and deployment pipelines.\n\nCollaboration: \nWork closely with product managers, data scientists, and engineers.\nMentor junior developers and review code.\nParticipate in Agile/Scrum processes.\n\nKey Deliverables: \nHigh-quality scalable Python applications.\nProduction-ready ML models.\nEfficient data pipelines.\nActionable insights from data.\n\nRequirements: \nExperience: 4-7 Years.\nBachelor's/Master's degree in Computer Science, Data Science, or a related field.\n\nTechnical Skills: \nStrong proficiency in Python (5+ years).\nMachine Learning libraries: Scikit-learn, TensorFlow, PyTorch.\nExperience with NLP (NLTK, SpaCy, Transformers), Deep Learning concepts.\nDatabase knowledge: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, Redis), API development (REST, GraphQL).\nCloud platforms: AWS / GCP / Azure.\nContainerization: Docker, Kubernetes.\n\nExperience with frameworks: \nWeb: Flask / FastAPI / Django.\nData: Pandas, NumPy.\n\nPreferred Qualifications: \nExperience with MLOps tools (MLflow, Kubeflow, Airflow).\nKnowledge of big data technologies (Spark, Hadoop).\nExperience in building recommendation systems or AI products.\nFamiliarity with LLMs and Generative AI.\nExperience with vector databases (FAISS, Pinecone).\nExposure to CI/CD pipelines.\n\nSoft Skills: \nStrong problem-solving and analytical thinking.\nExcellent communication and collaboration skills.\nAbility to work in a fast-paced environment.\nLeadership and mentoring capabilities.\n\nNice to Have: \nContributions to open-source projects.\nResearch publications in AI/ML.\nExperience with real-time data processing.\nSkills\nAI, Artificial Intelligence, Docker, ETL, ML, Machine Learning, PyTorch, Python, 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