{"id":563996,"url":"https://alion.io/job/newrocket-aiml-developer","title":"AI/ML Developer","company":{"id":4730,"name":"NewRocket","domain":"newrocket.com","url":"https://alion.io/company/newrocket","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India","India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":10000,"max_usd":26000,"period":"year","method":"role_seniority_country_cell","sample_n":20},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"BERT","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"Microsoft Teams","optional":false},{"name":"MySQL","optional":false},{"name":"NLP","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Sentiment Analysis","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"TensorFlow","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-09T07:21:49Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-29T06:39:52Z","board_verified":true,"closed_at":null,"days_open":50,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":50},"description":"Why Us\nNewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust-AI that delivers lasting business value.\nWe#GoBeyondWorkffows to create new kinds of experiences for our customers.\nCome join our Crew!\nThe Role\nWe are hiring an AI/ML Developer to join our India team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications.\nWhat You Will Be Doing\nDevelop, train, and deploy machine learning models for predictive analytics, classification, and clustering.\nImplement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-\nWork with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI).\nIntegrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis.\nDevelop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI.\nWork with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics.\nDesign and optimize ETL pipelines for data quality management, transformation, and\nUtilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query\nCreate interactive data visualizations using Tableau and Power BI to drive business\nWork with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization.\nDevelop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time.\nWhat You Bring Along\n2-4 years of experience applying AI to practical\nStrong programming skills in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.\nKnowledge of basic algorithms and object-oriented and functional design principles\nProficiency in using data analytics libraries like Pandas, NumPy, Matplotlib, and\nHands-on experience with cloud platforms such as AWS, Azure, and Google\nExperience with big data processing using Apache Spark and\nKnowledge of NLP and AI model implementations using Hugging Face and cloud-based AI\nStrong understanding of database management, query optimization, and data\nExperience with data visualization tools such as Tableau and Power\nAbility to work in a collaborative environment and adapt to new AI\nStrong analytical and problem solving skills.\n Education\nBachelor’s degree in Computer Science, Data Science, AI/ML, or a related\nWe Take Care of Our People\nNewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. 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