AI/ML Engineer

About SkillSecureX

SkillSecureX is a technology-focused platform dedicated to providing practical learning opportunities and industry-oriented exposure in Data Science, Artificial Intelligence, Machine Learning, Web Development, and emerging technologies. Our goal is to help students and freshers gain real-world experience through project-based internships and hands-on learning.

About the Internship

We are looking for enthusiastic and motivated candidates for the role of Data Science with AI Intern. This internship is designed for students, freshers, and aspiring data professionals who want to build practical skills in Data Science, Artificial Intelligence, data analysis, and machine learning technologies.

Interns will work on real-world datasets, AI-based projects, and practical assignments while learning industry-relevant tools and workflows under mentorship.

Roles & Responsibilities

• Work on data collection, cleaning, and preprocessing

• Analyze datasets and generate meaningful insights

• Assist in developing AI and Machine Learning models

• Create reports, dashboards, and data visualizations

• Work with Python libraries and data science tools

• Participate in project discussions and team collaboration

• Support research and development activities related to AI solutions

Required Skills

• Basic understanding of Python programming

• Interest in Data Science and Artificial Intelligence

• Familiarity with Excel, statistics, or data analysis concepts is a plus

• Knowledge of Machine Learning basics is beneficial

• Strong analytical and problem-solving skills

• Willingness to learn and work on practical projects

Eligibility

• Students pursuing graduation or post-graduation

• Freshers interested in Data Science and AI

• Candidates looking to gain practical industry experience

Perks & Benefits

• Internship Completion Certificate

• Hands-on experience on practical projects

• Flexible remote working environment

• Mentorship and industry-oriented learning

• Opportunity to strengthen resume and technical skills

Profile Title: Software Development Engineer

Location: Pune Remote

Company Profile:

Growloc Private Limited is a leading Agri-tech company in India specializing in IoT solutions for farm management. We empower farmers with innovative technology to optimize resource usage, improve yields, and ensure consistent quality produce. Backed by a team of passionate individuals, Growloc Private Limited is committed to creating a more sustainable and productive future for Indian agriculture.

Role Overview:

 We’re looking for a MERN Stack Engineer (SDE-2) who’s passionate about building impactful products and believes in working smarter—with AI copilots, automation, and lean dev cycles. You’ll be part of a high-ownership team responsible for delivering full-stack features, writing testable code, and deploying to production with CI/CD.

Key Responsibilities:

• Build and maintain robust full-stack applications using MongoDB, Nest.js, React.js, and Node.js.

• Actively leverage AI tools (Copilot, ChatGPT, etc.) for faster development, documentation, and writing test cases.

• Write and maintain unit, integration, and end-to-end tests to ensure code quality.

• Own features end-to-end—from design to deployment using modern CI/CD workflows (GitHub Actions, Vercel, AWS).

• Collaborate with product, data, and hardware teams in a lean setup to ship fast and iterate often.

• Ensure performance, responsiveness, and scalability of front-end and backend systems.

Required Skills:

• 2–5 years of professional experience building products using the MERN stack.

• Strong understanding of frontend architecture (React Hooks, Context API/Redux).

• Proficiency in Node.js, Express, and MongoDB schema design.

• Familiarity with CI/CD tools, Git workflows, and cloud deployments.

• Experience with automated testing frameworks (Jest, Mocha, Cypress, etc.).

• Demonstrated use of AI-based coding assistants in real-world development workflows.

Good to Have:

• Exposure to IoT systems or integration with hardware devices.

• Experience working with LoRaWAN protocols and sensor data ingestion.

• Familiarity with WebSockets, MQTT, or real-time data processing.

• Background in agriculture, climate-tech, or rural tech products.

• Knowledge of TypeScript or serverless architectures.

Compensation: Best as per the market standards

At Growloc, we believe in purpose-driven technology. You’ll be part of a collaborative team working at the intersection of agriculture and innovation. If you're excited about building products that matter—and making a real-world impact—this is the place for you.

Job Title: Java Backend Developer

Experience: ~3-6 years (Mid-to-Senior)

Employment Type: Full-time, Permanent

Location : Bangalore

Role Overview

As a Java Backend Developer, you’ll be responsible for designing, developing, and maintaining scalable backend systems and microservices. You’ll work with cross-functional teams to build high-performance distributed services, APIs, and data-driven applications that power business solutions.

Key Responsibilities

• Design and implement microservices and backend components using Java (8+) and Spring Boot.
• Build and consume RESTful APIs and integrate with internal/external services.
• Work with event-driven systems and messaging using Apache Kafka (producers/consumers).
• Develop and optimize databases, including SQL (e.g., MySQL/PostgreSQL) and NoSQL (e.g., MongoDB/Cassandra).
• Participate in CI/CD pipelines, automated builds, and deployments using tools like Git, Maven, Jenkins.
• Ensure code quality through unit and integration testing, documentation, and code reviews.
• Collaborate with frontend developers, QA, DevOps, and product teams following Agile methodologies.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Proven hands-on experience with Core Java and Spring Boot development.
• Strong understanding of microservices architecture, REST APIs, and distributed systems.
• Experience with message queues/event streaming (Apache Kafka).
• Skilled in relational and NoSQL databases and writing optimized queries.
• Comfortable with CI/CD tools (e.g., Git, Maven, Jenkins) and version control.
• Good problem-solving, debugging, and collaboration skills.

Preferred / Nice-to-Have

• Cloud platform experience (AWS / Azure / GCP).
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Knowledge of performance tuning, caching strategies, observability (metrics/logging).
• Agile/Scrum development experience.

🌐 About Us:

Exotica IT Solutions is at the forefront of digital transformation — delivering cutting-edge solutions in AI, automation, and custom software development.

Join Exotica IT Solutions and lead our marketplace-driven growth journey!

🔹 What You’ll Do:

✅ Lead and scale our IT sales strategy on Upwork & similar platforms

✅ Drive high-quality lead generation and conversions

✅ Create compelling proposals, pitch decks & RFP responses

✅ Build and manage a high-performing sales & Upwork specialist team

✅ Strengthen client relationships and boost long-term retention

✅ Optimize our Upwork presence to increase win rates and visibility

✅ Report actionable insights to leadership on key sales metrics

🔹 What We’re Looking For:

✔️ 5+ years in B2B/B2C IT services sales

✔️ 6+ years of hands-on experience with Upwork or similar platforms

✔️ Strong leadership, communication, and technical understanding

✔️ Proven ability to hit revenue targets and grow accounts

✔️ Flexible to engage across time zones.

👉 Ready to take the lead? Apply now or DM us for more details.

🌐 www.exoticaitsolutions.com

About Company

Our client is the worlds largest media investment company and a global digital transformation agency with 1200 employees across 21 nations. They support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels

About The Role

· Provide support on Campaign Measurement, Brand Lift studies, Reporting and other data needs (ingestion, cleaning, delivery etc.)

· Code in SQL, Python to create reports and build dashboards.

· Use Bigquery, Python, Datalab (GCP) and automate recurring workloads to improve efficiency

· Maintain underlying data infrastructure and troubleshoot data issues

· Generate meaningful insights from data using advanced analytics/statistical techniques and create dashboards and presentations for wider teams.

· Liaise closely with clients (internally and externally) on projects and work with key stakeholders to assess project needs and ensure best-in-class work is being delivered.

A bit about yourself

· 0-2 years of experience required

· Programming skills in SQL, Python/R

· Logical thinking and problem solving skills

· Strong communication skills (verbal & written)

· Adherence to quality & ability to plan & prioritize the work

· Passionate about data analysis, ability to troubleshoot data anomalies, pulling data from several sources, integrating it to create data layers

· Experience in applying big data, statistics, analytical techniques and technology to solve client problems will be plus

· Experience in creating dashboards, reports, presentations and finding insights, and strong business acumen to provide actionable strategic recommendations will be plus.

Key Responsibilities:

• Design, implement, and maintain server-side applications, APIs, and databases.
• Collaborate with front-end developers to integrate user-facing elements with server-side logic.
• Develop RESTful APIs, GraphQL, or other web services that integrate with databases and external services.
• Write clean, efficient, and reusable code while following best practices for backend development.
• Optimize applications for speed and scalability.
• Ensure the security of applications, databases, and data handling practices.
• Troubleshoot and debug issues in production and development environments.
• Write unit and integration tests to ensure the reliability and stability of the backend code.
• Work with databases (SQL or NoSQL) and optimize database queries for performance.
• Implement caching mechanisms to improve application performance.
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1. Big data developer with 8+ years of professional IT experience with expertise in Hadoop ecosystem components in ingestion, Data modeling, querying, processing, storage, analysis, Data Integration and Implementing enterprise level systems spanning Big Data.
2. A skilled developer with strong problem solving, debugging and analytical capabilities, who actively engages in understanding customer requirements.
3. Expertise in Apache Hadoop ecosystem components like Spark, Hadoop Distributed File Systems(HDFS), HiveMapReduce, Hive, Sqoop, HBase, Zookeeper, YARN, Flume, Pig, Nifi, Scala and Oozie.
4. Hands on experience in creating real - time data streaming solutions using Apache Spark core, Spark SQL & DataFrames, Kafka, Spark streaming and Apache Storm.
5. Excellent knowledge of Hadoop architecture and daemons of Hadoop clusters, which include Name node,Data node, Resource manager, Node Manager and Job history server.
6. Worked on both Cloudera and Horton works in Hadoop Distributions. Experience in managing Hadoop clustersusing Cloudera Manager tool.
7. Well versed in installation, Configuration, Managing of Big Data and underlying infrastructure of Hadoop Cluster.
8. Hands on experience in coding MapReduce/Yarn Programs using Java, Scala and Python for analyzing Big Data.
9. Exposure to Cloudera development environment and management using Cloudera Manager.
10. Extensively worked on Spark using Scala on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL/Oracle .
11. Implemented Spark using PYTHON and utilizing Data frames and Spark SQL API for faster processing of data and handled importing data from different data sources into HDFS using Sqoop and performing transformations using Hive, MapReduce and then loading data into HDFS.
12. Used Spark Data Frames API over Cloudera platform to perform analytics on Hive data.
13. Hands on experience in MLlib from Spark which are used for predictive intelligence, customer segmentation and for smooth maintenance in Spark streaming.
14. Experience in using Flume to load log files into HDFS and Oozie for workflow design and scheduling.
15. Experience in optimizing MapReduce jobs to use HDFS efficiently by using various compression mechanisms.
16. Working on creating data pipeline for different events of ingestion, aggregation, and load consumer response data into Hive external tables in HDFS location to serve as feed for tableau dashboards.
17. Hands on experience in using Sqoop to import data into HDFS from RDBMS and vice-versa.
18. In-depth Understanding of Oozie to schedule all Hive/Sqoop/HBase jobs.
19. Hands on expertise in real time analytics with Apache Spark.
20. Experience in converting Hive/SQL queries into RDD transformations using Apache Spark, Scala and Python.
21. Extensive experience in working with different ETL tool environments like SSIS, Informatica and reporting tool environments like SQL Server Reporting Services (SSRS).
22. Experience in Microsoft cloud and setting cluster in Amazon EC2 & S3 including the automation of setting & extending the clusters in AWS Amazon cloud.
23. Extensively worked on Spark using Python on cluster for computational (analytics), installed it on top of Hadoop performed advanced analytical application by making use of Spark with Hive and SQL.
24. Strong experience and knowledge of real time data analytics using Spark Streaming, Kafka and Flume.
25. Knowledge in installation, configuration, supporting and managing Hadoop Clusters using Apache, Cloudera (CDH3, CDH4) distributions and on Amazon web services (AWS).
26. Experienced in writing Ad Hoc queries using Cloudera Impala, also used Impala analytical functions.
27. Experience in creating Data frames using PySpark and performing operation on the Data frames using Python.
28. In depth understanding/knowledge of Hadoop Architecture and various components such as HDFS and MapReduce Programming Paradigm, High Availability and YARN architecture.
29. Establishing multiple connections to different Redshift clusters (Bank Prod, Card Prod, SBBDA Cluster) and provide the access for pulling the information we need for analysis. 
30. Generated various kinds of knowledge reports using Power BI based on Business specification. 
31. Developed interactive Tableau dashboards to provide a clear understanding of industry specific KPIs using quick filters and parameters to handle them more efficiently.
32. Well Experience in projects using JIRA, Testing, Maven and Jenkins build tools.
33. Experienced in designing, built, and deploying and utilizing almost all the AWS stack (Including EC2, S3,), focusing on high-availability, fault tolerance, and auto-scaling.
34. Good experience with use-case development, with Software methodologies like Agile and Waterfall.
35. Working knowledge of Amazon's Elastic Cloud Compute( EC2 ) infrastructure for computational tasks and Simple Storage Service ( S3 ) as Storage mechanism.
36. Good working experience in importing data using Sqoop, SFTP from various sources like RDMS, Teradata, Mainframes, Oracle, Netezza to HDFS and performed transformations on it using Hive, Pig and Spark .
37. Extensive experience in Text Analytics, developing different Statistical Machine Learning solutions to various business problems and generating data visualizations using Python and R.
38. Proficient in NoSQL databases including HBase, Cassandra, MongoDB and its integration with Hadoop cluster.
39. Hands on experience in Hadoop Big data technology working on MapReduce, Pig, Hive as Analysis tool, Sqoop and Flume data import/export tools.

We are looking for a Performance Marketing Manager who can take Wiser AI's growth & branding to the next level. The marketer will collaborate closely with the management, sales, customer success, and our marketing teams to drive inbound, GTM, and outbound initiatives.

Wiser is one of the leading AI powered recommendations engine for Shopify empowering brands like Disney, Star Wars, Kappa, and 30000 more such brands.

Roles & Responsibilities:

• Setup the positioning and product branding that differentiates our platform in the market
• Create materials (sales enablement tools, presentations, case studies, product content, industry-specific collaterals, etc.) for the defined segmentation.
• Own an audience segment and understand the market trends to inform product or market decisions.
• Own GTM activities particularly around product releases and launches.
• Collaborate with Sales, Marketing, and Product Management teams to drive a consistent and compelling product messaging to effectively promote and facilitate the sale of our products
• Work on overall growth for the app by various strategic activities for Wiser App.