International Lead Generation Executive

About MotionGility

MotionGility is a full-fledged Video, Design, and Digital Marketing Agency helping ambitious brands accelerate sustainable growth with performance-driven strategies. Founded in 2015, we are among the Global Top 10 Explainer Video Companies and have evolved into a creative powerhouse delivering impactful digital solutions for global brands.

Position: Content Writer

Location: Indore (Onsite)

Experience: 2+ years

Type: Full-time

Role Overview

We’re looking for a creative and versatile Content Writer who can turn ideas into compelling stories. Someone who understands digital audiences, writes with clarity, and can create content that informs, engages, and converts.

If you enjoy writing SEO-friendly website content, powerful ad copies, insightful blogs, and thought-leadership posts — this role is made for you.

Key Responsibilities

• Write clear, engaging, SEO-optimized content for websites, landing pages, blogs, and articles
• Develop high-conversion ad copies for social media and performance campaigns
• Craft compelling scripts for reels, short videos, and brand narratives
• Create thoughtful and strategic leadership content for Founders’ LinkedIn profiles
• Produce social media copies that are scroll-stopping and platform-specific
• Conduct keyword research, competitor analysis, and ensure content follows best SEO practices
• Collaborate with design, marketing, and video teams for content alignment
• Maintain brand voice consistency across all communication channels

What We’re Looking For

• At least 2 years of proven experience in content writing (agency or digital background preferred)
• Strong command over English with exceptional writing and editing skills
• Ability to write for diverse formats — long-form, short-form, scripts, ads, SEO, and storytelling
• Understanding of SEO fundamentals and keyword usage
• Creativity, research skills, and the ability to simplify complex topics
• A mindset focused on quality, consistency, and quick execution
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What You’ll Get

• Opportunity to work closely with founders and global brands
• Creative freedom and a collaborative environment
• Exposure to video storytelling, digital marketing, and brand strategy
• Growth-centric culture with continuous learning opportunities

Principal Software Engineer

Company Summary :

As the recognized global standard for project-based businesses, Deltek delivers software and information solutions to help organizations achieve their purpose. Our market leadership stems from the work of our diverse employees who are united by a passion for learning, growing and making a difference. At Deltek, we take immense pride in creating a balanced, values-driven environment, where every employee feels included and empowered to do their best work. Our employees put our core values into action daily, creating a one-of-a-kind culture that has been recognized globally. Thanks to our incredible team, Deltek has been named one of America's Best Midsize Employers by Forbes, a Best Place to Work by Glassdoor, a Top Workplace by The Washington Post and a Best Place to Work in Asia by World HRD Congress. www.deltek.com

Position Responsibilities :

About the Role 

We are seeking a highly motivated AI Solutions Engineer to join Deltek’s growing AI Center of Excellence team to design, develop, deploy, and optimize internal Artificial Intelligence and Machine Learning solutions that solve complex business challenges. The ideal candidate combines deep expertise in AI, machine learning, Generative AI, Large Language Models (LLMs), SLMs, software engineering, cloud computing, and MLOps/LLMOps to build scalable, production-grade AI applications. 

The AI Solutions Engineer will collaborate with AI data scientists, architects, and engineering teams to deliver innovative AI-driven solutions while ensuring security, scalability, governance, and operational excellence. This role reports to the Senior AI Solutions Architect. 

Key Responsibilities 

AI & Machine Learning Development 

• Design, build, train, evaluate, and deploy machine learning and deep learning models. 
• Develop Generative AI solutions using Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, and Mistral. 
• Implement Retrieval-Augmented Generation (RAG), prompt engineering, fine-tuning, and AI agent frameworks. 
• Build NLP, recommendation systems, forecasting, predictive analytics, and intelligent automation solutions. 
• Optimize model performance, scalability, latency, and cost. 

Software Engineering & Solution Development 

• Develop production-grade AI applications using Python and modern software engineering practices. 
• Build APIs, microservices, and AI-powered enterprise applications. 
• Integrate AI services with enterprise systems, business applications, and data platforms. 
• Apply coding standards, automated testing, CI/CD, and version control best practices. 

MLOps & AI Operations 

• Design and implement MLOps pipelines for model development, deployment, monitoring, and lifecycle management. 
• Automate model training, validation, testing, and deployment processes. 
• Monitor model performance, data drift, hallucinations, and operational metrics. 
• Support continuous improvement and reliability of AI platforms. 

Cloud & Platform Engineering 

• Develop AI solutions on Azure, AWS, or Google Cloud platforms. 
• Leverage cloud-native AI services, containerization, Kubernetes, and serverless technologies. 
• Build scalable architectures supporting enterprise AI workloads and real-time inference. 

AI Governance & Security 

• Ensure compliance with Responsible AI, security, privacy, and regulatory requirements. 
• Implement model governance, explainability, bias mitigation, and risk management practices. 
• Maintain standards for secure design, deployment, and operation of AI solutions. 

Required Qualifications 

Education 

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field. 

Experience 

• 5+ years of software engineering or machine learning development experience. 
• 2+ years of hands-on experience developing and deploying Agentic AI, Generative AI or AI/ML solutions in production environments. 

Technical Skills 

Programming & Engineering 

• Strong expertise in Python. 
• Experience with Java, ReactJS, JavaScript, or similar programming languages. 
• Solid understanding of algorithms, data structures, APIs, and software design principles. 

Artificial Intelligence & Machine Learning 

• Machine Learning and Deep Learning concepts and frameworks. 
• Model training, evaluation, optimization, and deployment. 

Generative AI 

• Large Language Models (LLMs) & SLMs 
• Prompt Engineering 
• Retrieval-Augmented Generation (RAG) 
• AI Agents and Agentic Workflows 
• Fine-tuning and model customization 
• Vector embeddings and semantic search 

Frameworks & Tools 

• PyTorch, TensorFlow, Scikit-learn 
• LangChain, LlamaIndex, Semantic Kernel, MCP, A2A and Transformers 
• FastAPI, Flask 

Data & Analytics 

• SQL and NoSQL databases 
• Data pipelines, ETL, and data modeling 
• Experience with AWS, Azure and Google 

MLOps & DevOps 

• MLflow, Kubeflow, Azure ML, SageMaker 
• Docker and Kubernetes 
• Git, GitHub, Azure DevOps, Jenkins 
• CI/CD automation and model monitoring 

Cloud Platforms 

• AWS (preferred) 
• AWS Bedrock or Azure OpenAI Service 
• AWS SageMaker 
• Google Vertex AI 

Preferred Qualifications 

• Experience designing enterprise-scale AI platforms and products.  
• Knowledge of multi-agent architectures and autonomous AI systems.  
• Experience with vector databases such as Pinecone, Snowflake Cortex, Pgvector, Weaviate, Chroma, or Azure AI Search.  
• Understanding of AI governance, compliance, and Responsible AI frameworks.  
• Relevant certifications in Azure AI, AWS Machine Learning, or Google Cloud AI.

Position: Tableau Developer

Experience: 5-7 years

Location: Bangalore

Key Responsibilities:

· Design, develop, and maintain interactive dashboards and reports using Tableau, ensuring high-quality visualizations that meet business requirements.

· Write and optimize complex SQL queries to extract, manipulate, and analyse data from various sources, ensuring data integrity and accuracy.

· Stay updated on technologies and trends related to data visualization and analytics, including advanced analytics, big data, and data science. Familiarity with tools such as R, Python, and SAS is a plus.

· Utilize Snowflake for data warehousing solutions, including data modelling, ETL processes, and performance tuning to support Tableau reporting.

· Work effectively in interdisciplinary global teams, influencing stakeholders within a matrix organization to ensure alignment on reporting solutions.

· Incorporate Tableau best practices in reporting solutions and guide team members in their use to enhance overall reporting quality.

· Utilize excellent analytical and problem-solving skills to address data-related challenges and provide actionable insights.

· Communicate effectively with both technical and non-technical stakeholders to understand their reporting needs and deliver tailored solutions.

· Additional Skills: Experience with other visualization tools (e.g., Spotfire, Power BI) and programming languages (e.g., R, Python, JavaScript) is advantageous.

Qualifications:

· Bachelor’s degree in informatics, Information Systems, Data Science, or a related field.

· 5+ years of relevant professional experience in data analytics, performance management, or related fields.

· Strong understanding of clinical development and/or biopharma industry practices is preferred.

· Proven experience in completing computerized systems validation and testing methodologies, with an awarenes

Sales Team Lead - Inside Sales

Craft My Plate is a fast-growing food tech startup redefining bulk food delivery and catering.We want to be Zomato for the group size of 10 -100.

Role Overview

We are looking for a strong frontline sales manager who can drive discipline, improve team productivity, and ensure every lead is followed up with speed and consistency.

This role will work closely with founders and sales leaders to execute strategy on the ground, drive daily team performance, and share practical feedback from the floor.

What You Will Do

• Manage day-to-day performance of the inside sales team.
• Ensure call discipline, follow-up rigor, and CRM hygiene.
• Track daily KPIs such as calls, follow-ups, conversions, and bookings.
• Run daily huddles, reviews, and coaching sessions.
• Monitor target achievement and improve underperformance quickly.
• Listen to calls and coach the team on objection handling and closing.
• Support hiring, onboarding, and building a strong execution culture.
• Work with founders and sales leaders to implement process improvements.

What We Are Looking For

• 3-6 years of experience in inside sales, telesales, or team handling roles.
• Prior experience as Team Lead, Floor Manager, Assistant Manager, or similar frontline people-management role.
• Strong preference for candidates from banking, finance, insurance, NBFC, telesales, or other target-heavy environments.
• Proven ability to manage teams and drive results through discipline and execution.
• Comfortable working in a fast-paced, high-accountability setup.
• Familiarity with CRM tools and sales reporting.
• Strong communication skills; English, Hindi, and Telugu are a plus.

What Success Looks Like

• Faster lead response and lower lead leakage.
• Strong daily calling and follow-up discipline.
• Better conversion from inquiries to bookings.
• High accountability and performance culture on the sales floor.

Why Join Us

• High ownership role in a fast-growing startup.
• Direct exposure to founders and sales leadership.
• Opportunity to grow into a larger sales management role.
• Performance-linked incentives and real business impact.

Strong UI/UX Designer Profile

Mandatory (Experience 1) - Must have 4+ years of hands-on experience as a UI/UX Designer

Mandatory (Experience 2) - Must have hands-on experience across the end-to-end UI/UX process, including user research, user flows, and information architecture

Mandatory (Tools 1) - Advanced proficiency in Figma for wireframing, prototyping, and high-fidelity UI design

Mandatory (Tools 2) - Familiarity with modern design tools such as Adobe Creative Suite (Photoshop, Illustrator) and/or Sketch

Mandatory (Portfolio) - Strong portfolio is mandatory, showcasing detailed case studies with user research, design rationale, UX process, wireframes, and final UI outputs across web and/or mobile platforms

Mandatory (Note): CTC Hike range will be 10-20%

ob Description: 

We are seeking an experienced Azure Data Engineer with expertise in Azure Data Factory, Azure Databricks, and Azure Data Fabric to lead the migration of our existing data pipeline and processing infrastructure. The ideal candidate will have a strong background in Azure cloud data services, big data analytics, and data engineering, with specific experience in Azure Data Fabric. We are looking for someone who has at least 6 months of hands-on experience with Azure Data Fabric or has successfully completed at least one migration to Azure Data Fabric.

Key Responsibilities:

• Assess the current data architecture using Azure Data Factory and Databricks and develop a detailed migration plan to Azure Data Fabric.
• Design and implement end-to-end data pipelines within Azure Data Fabric, including data ingestion, transformation, storage, and analytics.
• Optimize data workflows to leverage Azure Data Fabric's unified platform for data integration, big data processing, and real-time analytics.
• Ensure seamless integration of data from SharePoint and other sources into Azure Data Fabric, maintaining data quality and integrity.
• Collaborate with business analysts and business stakeholders to align data strategies and optimize the data environment for machine learning and AI workloads.
• Implement security best practices, including data governance, access control, and monitoring within Azure Data Fabric.
• Conduct performance tuning and optimization for data storage and processing within Azure Data Fabric to ensure high availability and cost efficiency.

Key Requirements:

• Proven experience (5+ years) in Azure data engineering with a strong focus on Azure Data Factory and Azure Databricks.
• At least 6 months of hands-on experience with Azure Data Fabric or completion of one migration to Azure Data Fabric.
• Hands-on experience in designing, building, and managing data pipelines, data lakes, and data warehouses on Azure.
• Expertise in Spark, SQL, and data transformation techniques within Azure environments.
• Strong understanding of data governance, security, and compliance in cloud environments.
• Experience with migrating data architectures and optimizing workflows on cloud platforms.
• Ability to work collaboratively with cross-functional teams and communicate technical concepts effectively to non-technical stakeholders.
• Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert) are a plus.

Key requirements:

• The person should have at least 6 months of work experience in Data Fabric.  Make sure the experience is not less than 6 months 
• Solid technical skills: data bricks, data fabric and data factory
• Polished, good communication and interpersonal skills
• The Person should have at least 6 years of experience in Databricks, Datafactory.